TheoremBase

Sketch: the set of convex combinations contains S and is convex by joining two combinations, so it contains the hull; conversely every convex superset of S, in particular the hull, contains all convex combinations of points of S.

Proof

Let KK denote the set on the right-hand side of the display. Recall from Convex Hull of a Subset of Rn\mathbb{R}^n (i) that conv⁑S\operatorname{conv}S is convex, contains SS, and is contained in every convex subset of Rn\mathbb{R}^{n} that contains SS. We prove the two inclusions conv⁑SβŠ†K\operatorname{conv}S\subseteq K and KβŠ†conv⁑SK\subseteq\operatorname{conv}S.

For the first inclusion it suffices, by the minimality of the convex hull, to show that KK is a convex set containing SS. Every x∈Sx\in S lies in KK: take N=1N=1, x1=xx_{1}=x and t=(1)t=(1), which lies in Ξ”1\Delta_{1}, and then βˆ‘k=11tkxk=x\sum_{k=1}^{1}t_{k}x_{k}=x by Convex Combinations: Small Cases, Splitting Off the Last Point, Dropping a Zero Weight, Joining Two Combinations, and Membership in Convex Sets (i). To see that KK is convex, let u,v∈Ku,v\in K and λ∈[0,1]\lambda\in[0,1], and write

u=βˆ‘k=1NΟ„kxk,v=βˆ‘j=1PΟƒjxjβ€²u=\sum_{k=1}^{N}\tau_{k}x_{k},\qquad v=\sum_{j=1}^{P}\sigma_{j}x'_{j}

with N,P∈NN,P\in\mathbb{N}, points x1,…,xN,x1β€²,…,xPβ€²βˆˆSx_{1},\dots,x_{N},x'_{1},\dots,x'_{P}\in S, and weights Ο„βˆˆΞ”N\tau\in\Delta_{N}, ΟƒβˆˆΞ”P\sigma\in\Delta_{P}. Let w1,…,wN+Pw_{1},\dots,w_{N+P} be the concatenated points (wk=xkw_{k}=x_{k} for k∈[N]k\in[N], wN+j=xjβ€²w_{N+j}=x'_{j} for j∈[P]j\in[P]) and t∈RN+Pt\in\mathbb{R}^{N+P} the combined weights (tk=(1βˆ’Ξ»)Ο„kt_{k}=(1-\lambda)\tau_{k}, tN+j=λσjt_{N+j}=\lambda\sigma_{j}). By Convex Combinations: Small Cases, Splitting Off the Last Point, Dropping a Zero Weight, Joining Two Combinations, and Membership in Convex Sets (v), tβˆˆΞ”N+Pt\in\Delta_{N+P} and

(1βˆ’Ξ»)u+Ξ»v=βˆ‘k=1N+Ptkwk.(1-\lambda)u+\lambda v=\sum_{k=1}^{N+P}t_{k}w_{k}.

Every wkw_{k} lies in SS, so (1βˆ’Ξ»)u+Ξ»v∈K(1-\lambda)u+\lambda v\in K. Thus KK contains the segment [u,v][u,v] of Segments and Convex Subsets of Rn\mathbb{R}^n (i) whenever u,v∈Ku,v\in K, that is, KK is convex in the sense of Segments and Convex Subsets of Rn\mathbb{R}^n (ii). Hence conv⁑SβŠ†K\operatorname{conv}S\subseteq K.

For the reverse inclusion, let N∈NN\in\mathbb{N}, x1,…,xN∈Sx_{1},\dots,x_{N}\in S and tβˆˆΞ”Nt\in\Delta_{N}. The set conv⁑S\operatorname{conv}S is convex and contains each xkx_{k}, so it contains βˆ‘k=1Ntkxk\sum_{k=1}^{N}t_{k}x_{k} by Convex Combinations: Small Cases, Splitting Off the Last Point, Dropping a Zero Weight, Joining Two Combinations, and Membership in Convex Sets (vi). Hence KβŠ†conv⁑SK\subseteq\operatorname{conv}S, and the two sets are equal.

Citations

Loading…

Dependencies

Uses0

Loading…

Comments

Log in to comment.

Loading…